code: def get_all_nn_basic_operators():
      """Gets all NN basic operators registered with MXNet.
  
      Returns
      -------
      {"operator_name": {"has_backward", "nd_op_handle", "params"}}
      """
      nn_basic_ops = [
          "FullyConnected",
          "Dropout",
          "BatchNorm",
          "L2Normalization",
          "LayerNorm",
          "InstanceNorm",
          "Embedding",
          "Correlation",
          "SpatialTransformer",
          "im2col",
          "col2im",
          "GroupNorm",
          "LRN",
      ]
  
      # Get all mxnet operators
      mx_operators = _get_all_mxnet_operators()
  
      # Filter for NN Basic operators
      nn_basic_mx_operators = {}
      for op_name, _ in mx_operators.items():
          if op_name in nn_basic_ops:
              nn_basic_mx_operators[op_name] = mx_operators[op_name]
      return nn_basic_mx_operators
  
imports: from operator import itemgetter
  from mxnet import runtime
  import mxnet
  from benchmark.opperf.rules.default_params import DEFAULTS_INPUTS, DEFAULTS_INPUTS_LARGE_TENSOR, MX_OP_MODULE
label_desc: Use image node_id 13 for calling a global function with example usage: get_all_nn_basic_operators() and returns: nn_basic_mx_operators